Python
What is Python?
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program molecularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.
- Presence of Third Party Modules: ...
- Extensive Support Libraries: ...
- Open Source and Community Development: ...
- Learning Ease and Support Available: ...
- User-friendly Data Structures: ...
- Productivity and Speed:
- Download Thonny IDE.
- Run the installer to install Thonny on your computer.
- Go to: File > New. Then save the file with . ...
- Write Python code in the file and save it. Running Python using Thonny IDE.
- Then Go to Run > Run current script or simply click F5 to run it.
Becoming a Python developer is the most direct job out there for someone who knows the Python programming language. A Python developer can be expected to: Build websites. Optimize data algorithms.
- Speed. Python is slower than C or C++. ...
- Mobile Development. Python is not a very good language for mobile development . ...
- Memory Consumption. Python is not a good choice for memory intensive tasks. ...
- Database Access. Python has limitations with database access . ...
- Runtime Errors.
7 Reasons Why You Must Consider Writing Software Applications in Python
1) Readable and Maintainable Code
While writing a software application, you must focus on the quality of its source code to simplify maintenance and updates. The syntax rules of Python allow you to express concepts without writing additional code. At the same time, Python, unlike other programming languages, emphasizes on code readability, and allows you to use English keywords instead of punctuations. Hence, you can use Python to build custom applications without writing additional code. The readable and clean code base will help you to maintain and update the software without putting extra time and effort.
2) Multiple Programming Paradigms
Like other modern programming languages, Python also supports several programming paradigm. It supports object oriented and structured programming fully. Also, its language features support various concepts in functional and aspect-oriented programming. At the same time, Python also features a dynamic type system and automatic memory management. The programming paradigms and language features help you to use Python for developing large and complex software applications.
3) Compatible with Major Platforms and Systems
At present, Python is supports many operating systems. You can even use Python interpreters to run the code on specific platforms and tools. Also, Python is an interpreted programming language. It allows you to you to run the same code on multiple platforms without recompilation. Hence, you are not required to recompile the code after making any alteration. You can run the modified application code without recompiling and check the impact of changes made to the code immediately. The feature makes it easier for you to make changes to the code without increasing development time.
4) Robust Standard Library
Its large and robust standard library makes Python score over other programming languages. The standard library allows you to choose from a wide range of modules according to your precise needs. Each module further enables you to add functionality to the Python application without writing additional code. For instance, while writing a web application in Python, you can use specific modules to implement web services, perform string operations, manage operating system interface or work with internet protocols. You can even gather information about various modules by browsing through the Python Standard Library documentation.
5) Many Open Source Frameworks and Tools
As an open source programming language, Python helps you to curtail software development cost significantly. You can even use several open source Python frameworks, libraries and development tools to curtail development time without increasing development cost. You even have option to choose from a wide range of open source Python frameworks and development tools according to your precise needs. For instance, you can simplify and speedup web application development by using robust Python web frameworks like Django, Flask, Pyramid, Bottle and Cherrypy. Likewise, you can accelerate desktop GUI application development using Python GUI frameworks and toolkits like PyQT, PyJs, PyGUI, Kivy, PyGTK and WxPython.
6) Simplify Complex Software Development
Python is a general purpose programming language. Hence, you can use the programming language for developing both desktop and web applications. Also, you can use Python for developing complex scientific and numeric applications. Python is designed with features to facilitate data analysis and visualization. You can take advantage of the data analysis features of Python to create custom big data solutions without putting extra time and effort. At the same time, the data visualization libraries and APIs provided by Python help you to visualize and present data in a more appealing and effective way. Many Python developers even use Python to accomplish artificial intelligence (AI) and natural language processing tasks.
7) Adopt Test Driven Development
You can use Python to create prototype of the software application rapidly. Also, you can build the software application directly from the prototype simply by refactoring the Python code. Python even makes it easier for you to perform coding and testing simultaneously by adopting test driven development (TDD) approach. You can easily write the required tests before writing code and use the tests to assess the application code continuously. The tests can also be used for checking if the application meets predefined requirements based on its source code.
However, Python, like other programming languages, has its own shortcomings. It lacks some of the built-in features provided by other modern programming language. Hence, you have to use Python libraries, modules, and frameworks to accelerate custom software development. Also, several studies have shown that Python is slower than several widely used programming languages including Java and C++. You have to speed up the Python application by making changes to the application code or using custom runtime. But you can always use Python to speed up software development and simplify software maintenance.

Python is a high level and interpreted programming language. But its syntax rules enable programmers to keep the source code of custom software applications readable and maintainable. Also, the general-purpose programming language allows programmers to run the same code on multiple platforms without recompilation. That is why, many web developers prefer Python to other web programming languages. But Python lacks the built-in web development features provided by popular server-side programming languages like PHP.
Hence, the developers need robust Python frameworks to accelerate development of custom web applications according to varying business needs. A Python developer has option to choose from several web frameworks according to his precise needs. But the usage statistics posted on various websites depict that Python programmers prefer Django to other web frameworks. As an open source web framework, Django helps users to curtail development time without increasing project overheads.
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What are basics of Python?
Python is the perfect programming language for people without any coding experience. It has a simple syntax, which makes it very accessible to beginners. Scripts written in Python are “human-friendly”: you can read Python code as you would read English commands.
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